Update README.md

README.md

@@ -22,9 +22,9 @@ license: apache-2.0
 
 # Mistral-Nemo-Instruct-12B-iMat-GGUF
 
-<b>Important Note: Inferencing is *only* available on this fork of llama.cpp at the moment: https://github.com/iamlemec/llama.cpp/tree/mistral-nemo (All credits to iamlemec for his work on Mistral-Nemo support)
-
-Other front-ends like the main branch of llama.cpp, kobold.cpp, and text-generation-web-ui may not work as intended</b>
+> [!WARNING]
+><b>Important Note:</b> Inferencing is *only* available on this fork of llama.cpp at the moment: https://github.com/iamlemec/llama.cpp/tree/mistral-nemo (All credits to iamlemec for his work on Mistral-Nemo support)
+>Other front-ends like the main branch of llama.cpp, kobold.cpp, and text-generation-web-ui may not work as intended</b>
 
 Quantized from Mistral-Nemo-Instruct-2407 fp16
 * Weighted quantizations were creating using fp16 GGUF and groups_merged.txt in 92 chunks and n_ctx=512
@@ -36,12 +36,12 @@ Quantized from Mistral-Nemo-Instruct-2407 fp16
  (Click on image to view in full size)
 [<img src="https://i.imgur.com/mV0nYdA.png" width="920"/>](https://i.imgur.com/mV0nYdA.png)
 
-
-<b>Quant-specific Tips:</b>
-* If you are getting a `cudaMalloc failed: out of memory` error, try passing an argument for lower context in llama.cpp, e.g. for 8k: `-c 8192`
-* If you have all ampere generation or newer cards, you can use flash attention like so: `-fa`
-* Provided Flash Attention is enabled you can also use quantized cache to save on VRAM e.g. for 8-bit: `-ctk q8_0 -ctv q8_0`
-* Mistral recommends a temperature of 0.3 for this model
+> [!TIP]
+><b>Quant-specific Tips:</b>
+>* If you are getting a `cudaMalloc failed: out of memory` error, try passing an argument for lower context in llama.cpp, e.g. for 8k: `-c 8192`
+>* If you have all ampere generation or newer cards, you can use flash attention like so: `-fa`
+>* Provided Flash Attention is enabled you can also use quantized cache to save on VRAM e.g. for 8-bit: `-ctk q8_0 -ctv q8_0`
+>* Mistral recommends a temperature of 0.3 for this model
 
 
 Original model card can be found [here](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407)